15+ Years enabling operational transformations across industries
From Shell to Syngenta, from Mediq to Nouryon — TwinMore has helped organizations move from operational complexity and fragmented systems to scalable execution capability. Not through theory-heavy transformation programs, but through practical operational transformation, Platform Implementations, Data & AI Projects and Human focused execution support.
Across manufacturing, supply chain, healthcare, retail and process industries, TwinMore enables transformations that don’t just work technically -but create operational clarity, stronger teams and measurable momentum.
Integrated systems. Trusted operational data. Teams aligned around execution. Transformation that finally lands.
Impact by numbers
15+ years enabling operational transformation across EMEA
€80M+ in operational transformation programs
20+ ERP, PLM, planning, operational data platform and AI-related implementations
10+ industries — from maritime and chemicals to fashion and healthcare
Multi-site operational programs across manufacturing, supply chain and distribution environments
Transformation focus
Operational design and transformation • Legacy modernization • Operational data foundations • AI & automation readiness • Digital Platforms Implementation • Systems integration • Supply chain optimization • Product Life Cycle Management • Governance & execution enablement • Team capability building
Featured transformations
1. MARITIME MANUFACTURER (DAMEN)
Production-ready PLM platform delivered in 10 months.
The challenge:
Damen needed to replace their legacy PDM system and unify multiple CAD environments across divisions under one PLM platform. The risk: investing millions in unproven technology. The requirement: proof before full commitment.
The approach:
Month 1-4: Proof of concept to validate the digital platforms’ technical fit for multi-CAD integration and data migration requirements.
Month 5-10: Built production-ready MVP including data migration strategy, multi-division deployment roadmap, and governance framework.
Throughout: Maintained alignment across divisions through transparent progress reporting.
The outcome:
Working PLM platform ready for rollout in 10 months. Multi-CAD integration validated. Data migration path proven. Foundation established for “One Damen PLM” vision with clear path forward for divisions.
2. AGRITECH LEADER (SYNGENTA)
Global production network optimized with AI-driven planning.
The challenge:
Complex global network with multiple factories and distribution centers. Capacity constraints affecting production. Inventory either excessive or insufficient. Supply planning processes unable to optimize across the network. Multiple SAP deployments needed without disrupting operations.
The approach:
Designed and deployed network planning platform with AI/ML algorithms for capacity and scheduling optimization. Redesigned supply planning framework including inventory management and factory scheduling. Led multiple SAP programs through full implementation lifecycle. Built and coached cross-functional teams.
The outcome:
Network planning operating effectively across global footprint. Capacity utilization improved through intelligent scheduling. Inventory levels optimized while maintaining service targets. Multiple successful SAP deployments completed on schedule with strong user adoption.
3. GLOBAL CHEMICAL COMPANY (NOURYON)
Perfect order fulfillment improved through data governance program.
The challenge:
Logistics operations impacted by data quality issues. No single source of truth for critical data. Unclear data ownership leading to quality problems. Decisions based on unreliable information affecting perfect order fulfillment metrics.
The approach:
Established global data governance organization with clear ownership structure. Implemented data quality rules, monitoring processes, and cleansing procedures. Cleaned critical data domains impacting order fulfillment. Trained regional teams to sustain data quality independently.
The outcome:
Perfect order fulfillment metrics improved measurably within 6 months. Global data governance organization operational. Teams transitioned from reactive problem-solving to proactive data ownership. Foundation established for AI and automation initiatives.
4. ENERGY COMPANY (SHELL)
Integrated warehouse solution deployed for Gulf of Mexico operations.
The challenge:
New 3PL warehouse required for Gulf of Mexico operations. Warehouse management system needed with full SAP integration. Upstream maintenance supply chain required digital strategy and optimization roadmap.
The approach:
Selected and deployed WMS for 3PL warehouse operations. Designed integration architecture connecting SAP, supply chain platform, and 3PL systems. Partnered with SAP, platform vendor, and logistics provider for end-to-end delivery. Developed digital supply chain strategy for Oil & Gas operations.
The outcome:
3PL warehouse operational with integrated WMS. End-to-end visibility established from SAP to warehouse operations. Manual workarounds eliminated. Digital optimization roadmap created for continued improvement.
5. GLOBAL FASHION RETAILER (PVH)
Blue Yonder adoption increased from 25% to 60% in 3 months.
The challenge:
The planning platform transformation was not ramping up. Planning teams weren’t using the system. Leadership questioned the investment value.
The approach:
Redesigned demand and supply planning processes in collaboration with planning teams. Solved technical solution gaps. Provided weekly progress transparency to leadership on adoption drivers and barriers.
The outcome:
Adoption reached 60%+ within 3 months. Planning teams shifted to actively using automated demand forecasting and supply optimization. System delivering intended ROI.
6. BEAUTY RETAILER (RITUALS)
Supply chain planning platform selected through structured assessment.
The challenge:
Future supply planning platform selection required clear criteria. Target Operating Model undefined. Business requirements not prioritized. Platform capabilities comparison needed. Data architecture readiness for AI unclear.
The approach:
Co-led comprehensive supply chain planning assessment. Designed Target Operating Model aligned with business strategy. Gathered and prioritized business requirements. Compared functional and non-functional platform features. Designed data and intelligence architecture vision.
The outcome:
Clear platform selection criteria established. Informed technology decision made. Data architecture roadmap created for AI-ready supply chain. Leadership aligned on requirements and approach.
7. GLOBAL LOGISTICS PROVIDER (FEDEX)
AI-powered network planning solution designed for EAME region.
The challenge:
Greenfield EAME network planning solution required. Complex itinerary planning across multiple routes. AI/ML optimization needed but architecture unclear. Data foundation missing for intelligent planning decisions.
The approach:
Built and led project team for greenfield solution design. Designed AI/ML engine for route and network optimization. Developed data architecture to enable intelligent planning. Created EAME-wide network planning framework.
The outcome:
Network planning solution designed and validated for deployment. AI/ML optimization engine architecture proven. Data foundation established enabling intelligent logistics planning at scale.
8. MEDICAL WHOLESALER (MEDIQ)
SAP integrated across Europe with automated warehouse deployment.
The challenge:
Fragmented SAP landscape across European sites with different versions and processes. Greenfield automated warehouse required full integration. Supply chain processes not standardized across countries. Three deployment cycles needed over two years.
The approach:
Integrated SAP across supply chain, finance, and reporting functions. Selected 3PL partner and designed goods flow for highly mechanized warehouse. Deployed IT systems and managed data migration. Standardized end-to-end processes across all sites. Led three deployment cycles across European countries. Built and coached global implementation team.
The outcome:
Automated warehouse operational with full SAP integration. Standardized processes reduced complexity and enabled scalability. Three successful deployment cycles completed across Europe. Teams equipped to maintain and evolve systems independently.
9. HOMECARE PROVIDER (EUROCEPT)
Digital care services platform deployed with AI optimization.
The challenge:
Manual processes limiting productivity in medical nutrition operations. Healthcare ecosystem partners operating in silos without integration. Digital portals needed for patients, hospitals, and life science companies. Pharmaceutical product introduction timeline too long.
The approach:
Implemented AI solution for medical nutrition sales optimization. Designed API strategy connecting healthcare ecosystem partners. Created digital portals for patients, hospitals, and life science companies. Developed multi-year digital transformation roadmap aligned with business objectives.
The outcome:
AI-driven sales optimization deployed and operational. Platform integrations enabled ecosystem collaboration. Digital portals improved patient and partner experience. Clear roadmap established for continued digital maturity.
Industries where TwinMore creates impact
Manufacturing & Process Industries
Maritime, agritech, chemicals and energy organizations operating in highly complex operational environments with multi-site supply chains, legacy systems and heavy engineering dependencies.
Retail & Consumer Goods
Fashion, beauty and logistics organizations navigating demand volatility, omnichannel complexity and increasing pressure on operational speed and flexibility.
Healthcare & Life Sciences
Medical wholesalers, homecare and pharmaceutical supply organizations managing regulatory complexity, ecosystem collaboration and patient-centric operational processes.
What connects them
Complex operations. Fragmented systems. Operational pressure. Transformation fatigue.
Increasing AI and modernization demands. Organizations that need transformation to deliver measurable operational results.
Frequently asked questions about TwinMore's impact
In which industries does TwinMore have experience?
TwinMore has enabled operational transformation programs across manufacturing, process industries, retail, consumer goods, healthcare and life sciences.
What connects these industries is operational complexity, fragmented systems, supply chain pressure and the need for transformation that delivers measurable execution results.
What kind of transformation results has TwinMore delivered?
TwinMore has supported organizations across ERP, PLM, operational data, supply chain and AI-related transformation initiatives.
Results include improved operational alignment, faster integration delivery, stronger adoption, streamlined execution processes and increased operational visibility across complex environments.
Does TwinMore work across multiple sites and geographies?
Yes.
TwinMore has supported operational transformation initiatives across multiple sites and countries throughout EMEA — ranging from manufacturing and warehouse environments to global operational transformation programs.
What makes TwinMore different from traditional transformation consulting?
TwinMore focuses on the operational and human blockers that slow execution down.
Instead of large consulting programs focused mainly on technology delivery, TwinMore combines operational transformation, Human &AI Enablement and capability building into one integrated transformation approach.
The goal is transformation that works operationally, organizationally and sustainably.
How does TwinMore help organizations prepare for AI transformation?
TwinMore helps organizations build the operational foundations needed for scalable AI adoption.
This includes operational data readiness, process simplification, governance, leadership alignment and team enablement — because AI transformation only succeeds when operations are ready to support it.
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